These articles will save you 50+ hours of hopping to resources and wasting time. 1) Scalability: https://lnkd.in/gq4hW9qx 2) Horizontal vs Vertical Scaling: https://lnkd.in/g8qcwRCy 3) Latency vs Throughput: https://lnkd.in/gDAx6QQd 4) Load Balancing: https://lnkd.in/gefSiXEJ 5) Caching: https://lnkd.in/gAp-9udf 6) ACID Transactions: https://lnkd.in/g-sjsMwX 7) SQL vs NoSQL: https://lnkd.in/gwCe58TU 8) Database Indexes: https://lnkd.in/gE_q5m_g 9) Database Sharding: https://lnkd.in/gFdNxDrU 10) Content Delivery... Continue Reading →
Data Scientist Roadmap
How I would relearn Data Science In 2024 to get a job: Getting Started: ⬇️ - Data Science Intro: DataCamp- Anaconda Setup: Anaconda Documentation Programming: - Python Basics: Real Python- R Basics: R-bloggers- SQL Fundamentals: SQLZoo- 六 Java for Data Science: Udemy - Java Programming and Software Engineering Fundamentals Mathematics:... Continue Reading →
System Design Blogs
30 Blogs to learn 30 System Design Concepts:1) Content Delivery Network (CDN): https://lnkd.in/gjJrEJeH2) Caching: https://lnkd.in/gC9piQbJ3) Distributed Caching: https://lnkd.in/g7WKydNg4) Latency vs Throughput: https://lnkd.in/g_amhAtN5) CAP Theorem: https://lnkd.in/g3hmVamx6) Load Balancing: https://lnkd.in/gQaa8sXK7) ACID Transactions: https://lnkd.in/gMe2JqaF8) SQL vs NoSQL: https://lnkd.in/g3WC_yxn9) Consistent Hashing: https://lnkd.in/gd3eAQKA10) Database Index: https://lnkd.in/gCeshYVt11) Rate Limiting: https://lnkd.in/gWsTDR3m12) Microservices Architecture: https://lnkd.in/gFXUrz_T13) Strong vs Eventual Consistency: https://lnkd.in/gJ-uXQXZ14) REST vs RPC:... Continue Reading →
Insert, Update and Delete in PySpark
Here's the scenario: We had two data tables, Table_A and Table_B, each containing a "Name" and "Age" column. 📋💡Table_A:Name | Age------------S1 | 20S2 | 23-------------------------Table_B:Name | Age------------S1 | 22S4 | 27Our mission was to determine the differences between these tables and generate a Action between Update, Delete, Insert🚀 and here's the solution we came up... Continue Reading →
Azure Learning Resources
Top 9 Azure #dataengineering tools to learn for FREE.....start your Azure journey here.....1. Azure Data Factory.https://lnkd.in/gEmpbyrMProject: https://lnkd.in/gFG2aCgy2. Azure Data bricks.https://lnkd.in/gvFwKxaNproject: https://lnkd.in/gFG2aCgy3. Azure Stream Analytics.https://lnkd.in/g35VbSTv4. Azure Synapse Analytics.https://lnkd.in/gCufskNC5. Azure Data Lake Storage.https://lnkd.in/gcEKjWsc6. Azure SQL database.https://lnkd.in/gmHxqxQX7. Azure Postgres SQL database.https://lnkd.in/grHWJvWZ8. Azure MariaDB.https://lnkd.in/gYSp7MZi9. Azure Cosmos DB.https://lnkd.in/g6jPZA36This is an excellent guide to become azure data engineer. No need to... Continue Reading →
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